FOR 875 (Sect. 730) - R Programming for Data Science
FOR/STT 875 R Programming for Data Sciences - ONLINE
Available for undergraduate and graduate students. There are no perquisite or co-requisite courses.
Learn more at: www.for.msu.edu/graduate/r
Course instructor: Dr. Andrew Finley
Course overview: R has emerged as a preferred programming language in a wide range of data intensive disciplines. The goal of this course is to teach applied and theoretical aspects of R programming for data sciences. Topics will cover generic programming language concepts as they are implemented in high-level languages such as R. Course content focuses on design and implementation of R programs to meet routine and specialized data manipulation/management and analysis objectives. Attention will also be given to mastering concepts and tools necessary for implementing reproducible research.
`The course is delivered entirely online through the course management system D2L. Topics listed below are covered in an active, project-based learning environment:
-History and overview of R -Install and configuration of R programming environment
-Basic language elements and data structures
-Data storage formats
-Graphics and visualization
-Grammar of data manipulation (dplyr and related tools)
Please contact Andrew Finley with questions at firstname.lastname@example.org